Sorry this wasn't clear. For this analysis, I'm just interested in the
men as individuals, are their right and left sides different. If I had a
continous outcome (and no twinship to consider), I'd use a paired t-test.

But the sample happens to be (for other reasons) twins, so I need to
adjust errors (p-values) for the correlation between twins.

something like that, where I wan't to compare Left and Right, and Pair is
a nuisance variable to me.

thank you! Laura
On Mon, 26 Apr 2010, Lachenbruch, Peter wrote:

I seem to be missing something here. If you take the within-pair
difference aren't you removing the pair effect? You can make the same
argument for a dichotomous response. In this case the difference will be
-1, 0, or 1. You could do a t-test on this (variance would be slightly
off) or you could look at the table of responses and test if the
proportion of -1s is the same as the proportion of +1s. May need to do
this by hand, but should be simple. What is the clustering variable if
not pairs?

Tony
Peter A. Lachenbruch
Department of Public Health
Oregon State University
Corvallis, OR 97330
Phone: 541-737-3832
FAX: 541-737-4001
-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Laura Gibbons
Sent: Sunday, April 25, 2010 6:39 PM
To: statalist@hsphsun2.harvard.edu
Subject: st: McNemar's test with clustering
I'd like to do something like McNemar's test, -mcc-, where I'm comparing
presence of two dichotomous traits in each person. [In this case, is a
finding more common on the left side of the spine, compared to the right.]
The problem is that the subjects are twins, in this analysis a nuisance
parameter, but svyset or cluster(pair) are not options for mcc.
For continuous outcomes I can get the equivalent of a paired t-test by
computing the difference and then getting the p-values from the intercept
in
reg difference, cluster(pair)
but I've not come up with anything along these lines either.
Any guidance would be appreciated, thanks!
-Laura
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Laura E. Gibbons, PhD
General Internal Medicine, University of Washington
Box 359780, Harborview Medical Center, 325 Ninth Ave, Seattle, WA 98104
phone: 206-744-1842, fax: 206-744-9917, Office address: 401 Broadway, Suite 5122
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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